class_docstr: Computes LR as minimum of 1/beta and 1/(gamma * step) at each step.
  
  This is a required step for privacy guarantees.
docstr: Return config to setup the learning rate scheduler.
docstr_tok: ["Return","config","to","setup","the","learning","rate","scheduler","."]
code: def get_config(self):
      """Return config to setup the learning rate scheduler."""
      return {"beta": self.beta, "gamma": self.gamma}
  
imports: import tensorflow.compat.v1
  from tensorflow.compat.v1.python.keras.optimizer_v2 import optimizer_v2
  from tensorflow.compat.v1.python.ops import math_ops
  from tensorflow_privacy.privacy.bolt_on.losses import StrongConvexMixin
label_desc: Use image node_id 3 for calling the GammaBetaDecreasingStep obj's underlying member method code with example usage: obj.get_config() and returns: dict